Triple
T2827192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerhard |
E54950
|
entity |
| Predicate | isCognateWith |
P2527
|
FINISHED |
| Object |
Girard
Girard is a masculine given name and surname of Germanic origin, historically associated with forms like Gerard or Gerhard and borne by various notable figures in European and North American history.
|
E301577
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Girard | Statement: [Gerhard, isCognateWith, Girard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girard Context triple: [Gerhard, isCognateWith, Girard]
-
A.
Choulex
Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
-
B.
Fleury
Fleury is a French-Canadian surname most prominently associated with NHL goaltender Marc-André Fleury.
-
C.
Nevers
Nevers is a historic city in central France known for its medieval architecture, religious heritage, and traditional faience pottery.
-
D.
Dix
Dix is the surname of Dorothea Dix, the 19th-century American social reformer known for her pioneering work in mental health care and prison reform.
-
E.
Pearre
Pearre is a given name used as the middle name of U.S. Air Force General Charles Pearre Cabell.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Girard Triple: [Gerhard, isCognateWith, Girard]
Generated description
Girard is a masculine given name and surname of Germanic origin, historically associated with forms like Gerard or Gerhard and borne by various notable figures in European and North American history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Girard Target entity description: Girard is a masculine given name and surname of Germanic origin, historically associated with forms like Gerard or Gerhard and borne by various notable figures in European and North American history.
-
A.
Choulex
Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
-
B.
Fleury
Fleury is a French-Canadian surname most prominently associated with NHL goaltender Marc-André Fleury.
-
C.
Nevers
Nevers is a historic city in central France known for its medieval architecture, religious heritage, and traditional faience pottery.
-
D.
Dix
Dix is the surname of Dorothea Dix, the 19th-century American social reformer known for her pioneering work in mental health care and prison reform.
-
E.
Pearre
Pearre is a given name used as the middle name of U.S. Air Force General Charles Pearre Cabell.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde95d8148190bcae8b0659a5c116 |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceb20c508190ba87e102ba250a00 |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afcf8b032c8190b5fe0777bb0283ee |
completed | March 10, 2026, 8 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcfe8a140819095daa37d539e4c72 |
completed | March 10, 2026, 8:01 a.m. |
Created at: March 6, 2026, 9:59 p.m.